从PEC到频谱和从频谱到PEC:二原子X射线吸收的莫尔斯协议
Minrui Wei1, Lu Zhang1, Junxiang Zuo1
1MIIT Key Laboratory of Semiconductor Microstructure and Quantum Sensing, Department of Applied Physics, School of Physics, Nanjing University of Science and Technology, Nanjing 210094, China.
Journal of chemical theory and computation
|February 12, 2026
概括
我们开发了一种新方法,将分子潜在能量表面 (PES) 与二原子分子的X射线光谱联系起来. 这个框架准确地从潜力预测光谱,并从光谱数据中推断潜力.
科学领域:
- 分子光谱学 分子光谱学
- 量子化学 是一个量子化学.
- 计算化学计算化学
背景情况:
- 在分子科学中,将分子潜在能量表面 (PES) 和光谱可观测物联系起来至关重要.
- 从潜力预测光谱和从光谱推断潜力通常是分开处理的.
研究的目的:
- 建立一个统一的,双向的框架,连接莫尔斯电位参数和振动解析的X射线吸收光谱,用于二原子系统.
- 为了能够准确地从潜力预测光谱,并从光谱推断潜力.
主要方法:
- 量子波束模拟被用来解码莫尔斯电位参数 (平衡键位移,无和性,井深) 和光谱特征之间的前向关系.
- 进行了系统的参数灵敏度扫描,以确定趋势并创建用于评估参数可信性的库.
- 对CO和CO+的高分辨率实验光谱进行了反转,以反向验证框架,提取潜在能量曲线 (PEC).
- 用光谱根平均平方误差 (RMSE) 和参数空间偏差作为诊断方法.
主要成果:
- 特定的摩尔斯电位参数与不同的光谱特征相关:ΔR与弗兰克-康登渐进,α与强度比,De与能量缩放.
- 显而易见的缩放规律是从光谱描述器衍生出来的.
- 从实验频谱中准确地提取了地面和核心激发状态的PEC.
- 该框架证明了从频谱中推断潜力的定量准确性.
结论:
- 开发的基于物理学的框架解码了二原子系统的明确结构频谱关系.
- 它是用于光谱分析的强大工具,也是评估电子结构方法的宝贵诊断工具.
- 这种双向方法统一了光谱预测和潜在推理,推进了分子科学.
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